Exploratory Graphs
2017-18 Room Selection Participation
# rsNet1718 by Houses through June
ggplot(newRSNet1718ByHouses,aes(x = Dates, y = Participation, group = variable,
colour = variable)) +
geom_line()
# rsNet1718 total participation through June
ggplot(rsNet1718Total,aes(x = Dates, y = netParticipation)) +
geom_line()
# rsNet1718 by Houses through April
ggplot(newRSNet1718ByHousesApr,aes(x = Dates, y = Participation, group = variable,
colour = variable)) +
geom_line() +
labs(fill = "Houses")
# rsNet1718 by Houses during Retention
ggplot(newRSNet1718ByHousesRetention,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line() +
labs(fill = "Houses")
# rsNet1718 by Houses during Block Housing
ggplot(newRSNet1718ByHousesBlock,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line() +
labs(fill = "Houses")
# rsNet1718 by Houses during General Selection
ggplot(newRSNet1718ByHousesGeneral,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line() +
labs(fill = "Houses")
# rsNet1718 by Houses during Open Assignment
ggplot(newRSNet1718ByHousesOpen,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line() +
labs(fill = "Houses")
# rsNet1718 total participation through April
ggplot(rsNet1718TotalApr,aes(x = Dates, y = netParticipation)) +
geom_line()
# bar charts of counts
ggplot(newRSNet1718ByHousesRetention,aes(x = variable, y = Participation)) +
geom_bar(stat = "identity") +
labs(title = "Retention by houses", fill = "Houses")
ggplot(newRSNet1718ByHousesBlock,aes(x = variable, y = Participation)) +
geom_bar(stat = "identity") +
labs(title = "Block Housing by houses", fill = "Houses")
ggplot(newRSNet1718ByHousesGeneral,aes(x = variable, y = Participation)) +
geom_bar(stat = "identity") +
labs(title = "General Selection by houses", fill = "Houses")
ggplot(newRSNet1718ByHousesOpen,aes(x = variable, y = Participation)) +
geom_bar(stat = "identity") +
labs(title = "Open Assignment by houses", fill = "Houses")
2017-18 Vacancies
# vacancies1718 by Houses until start of Fall opening
ggplot(newVacancies1718ByHouses,aes(x = Dates, y = Vacancies, group = variable,
colour = variable)) +
geom_line()
# vacancies1718 total participation until start of Fall opening
ggplot(vacancies1718Total,aes(x = Dates, y = totalVacancies)) +
geom_line()
# vacancies1718 by Houses through April
ggplot(newVacancies1718ByHousesApr,aes(x = Dates, y = Vacancies, group = variable,
colour = variable)) +
geom_line()
# vacancies1718 by Houses during Retention
ggplot(newVacancies1718ByHousesRetention,aes(x = Dates, y = Vacancies, group = variable,
colour = variable)) +
geom_line()
# vacancies1718 by Houses during Block Housing
ggplot(newVacancies1718ByHousesBlock,aes(x = Dates, y = Vacancies, group = variable,
colour = variable)) +
geom_line()
# vacancies1718 by Houses during General Selection
ggplot(newVacancies1718ByHousesGeneral,aes(x = Dates, y = Vacancies, group = variable,
colour = variable)) +
geom_line()
# vacancies1718 by Houses during Open Assignment
ggplot(newVacancies1718ByHousesOpen,aes(x = Dates, y = Vacancies, group = variable,
colour = variable)) +
geom_line()
# vacancies1718 total participation through April
ggplot(vacancies1718TotalApr,aes(x = Dates, y = totalVacancies)) +
geom_line()
# bar chart of counts
r <- ggplot(newVacancies1718ByHousesRetention,aes(x = variable, y = Vacancies)) +
geom_bar(stat = "identity", position = "identity") +
labs(title = "Retention by houses", fill = "Houses")
b <- ggplot(newVacancies1718ByHousesBlock,aes(x = variable, y = Vacancies)) +
geom_bar(stat = "identity", position = "identity") +
labs(title = "Block Housing by houses", fill = "Houses")
g <- ggplot(newVacancies1718ByHousesGeneral,aes(x = variable, y = Vacancies)) +
geom_bar(stat = "identity", position = "identity") +
labs(title = "General Selection by houses", fill = "Houses")
o <- ggplot(newVacancies1718ByHousesOpen,aes(x = variable, y = Vacancies)) +
geom_bar(stat = "identity", position = "identity") +
labs(title = "Open Assignment by houses", fill = "Houses")
grid.arrange(r,b,g,o,ncol=2)
2018-19 Room Selection
# occupancy1819 by Houses
ggplot(newOccupancyByHouses,aes(x = Dates, y = Participation, group = variable,
colour = variable)) +
geom_line()
# occupancy1819 by Houses during Retention
ggplot(newOccupancyByHousesRetention,aes(x = Dates, y = Participation, group = variable,
colour = variable)) +
geom_line()
# occupancy1819 by Houses during Block
ggplot(newOccupancyByHousesBlock,aes(x = Dates, y = Participation, group = variable,
colour = variable)) +
geom_line()
# occupancy1819 by Houses during General Selection
ggplot(newOccupancyByHousesGeneral,aes(x = Dates, y = Participation, group = variable,
colour = variable)) +
geom_line()
# occupancy1819 by Houses during Open Assignment
ggplot(newOccupancyByHousesOpen,aes(x = Dates, y = Participation, group = variable,
colour = variable)) +
geom_line()
# occupancy1819 total participation
ggplot(occupancy1819Total,aes(x = Dates, y = totalParticipation)) +
geom_line()
2017-18 Room Selection
# # phases by houses
# ggplot(data = newPhasesByHouses, aes(x = newPhasesByHouses$Group,
# fill = newPhasesByHouses$variable,
# na.rm = TRUE)) +
# geom_bar(aes(y = newPhasesByHouses$Participation), stat = "identity") +
# labs(x = "Phase", y = "Count", fill = "House")
#
# # phases by neighborhood
# ggplot(data = newPhasesByNeighborhood, aes(x = newPhasesByNeighborhood$Group,
# fill = newPhasesByNeighborhood$variable,
# na.rm = TRUE)) +
# geom_bar(aes(y = newPhasesByNeighborhood$Participation), stat = "identity") +
# labs(x = "Phase", y = "Count", fill = "House")
#
# # phases by building/room types
# ggplot(data = newPhasesByBuilding, aes(x = newPhasesByBuilding$Group,
# fill = newPhasesByBuilding$variable,
# na.rm = TRUE)) +
# geom_bar(aes(y = newPhasesByBuilding$Participation), stat = "identity") +
# labs(x = "Phase", y = "Count", fill = "House")
2017-18 Vacancies
################################################################################
2018-19 Room Selection
################################################################################
By Neighborhood
- Hill: HEN, MMA, MCG, RES, ROSE, SP, WEL, WW, WOOD
- Morewood: DOH, MG
- Oakland: CLY, FAX, HIGH, NEV, SHA, WEB
2017-18 Room Selection
## Hill Morewood Oakland
## 409 406 544
## Hill Morewood Oakland
## 185 70 84
## Hill Morewood Oakland
## 36 150 315
## Hill Morewood Oakland
## 175 158 129
## Hill Morewood Oakland
## 13 28 16
# rsNet1718 by Neighborhoods
ggplot(newRSNet1718AprNeighborhoods,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line()
# rsNet1718 by Neighborhoods during Retention
retain1 <- ggplot(newRSNet1718AprNeighborhoodsRetention,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line() +
theme(legend.position="none")
# rsNet1718 by Neighborhoods during Block
block1 <- ggplot(newRSNet1718AprNeighborhoodsBlock,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line() +
theme(legend.position="none")
# rsNet1718 by Neighborhoods during General Selection
general1 <- ggplot(newRSNet1718AprNeighborhoodsGeneral,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line() +
theme(legend.position="none")
# rsNet1718 by Neighborhoods during Open Assignment
open1 <- ggplot(newRSNet1718AprNeighborhoodsOpen,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line()
grid.arrange(retain1, block1, general1, open1, ncol = 2)
2017-18 Vacancies
# vacancies1718 by neighborhood
ggplot(newVacancies1718AprNeighborhoods,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line()
# vacancies1718 by neighborhood during Retention
retain2 <- ggplot(newVacancies1718AprNeighborhoodsRetention,aes(x = Dates,
y = Participation,
group = variable,
colour = variable)) +
geom_line() +
theme(legend.position="none")
# vacancies1718 by neighborhood during Block
block2 <- ggplot(newVacancies1718AprNeighborhoodsBlock,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line() +
theme(legend.position="none")
# vacancies1718 by neighborhood during General Selection
general2 <- ggplot(newVacancies1718AprNeighborhoodsGeneral,aes(x = Dates,
y = Participation,
group = variable,
colour = variable)) +
geom_line() +
theme(legend.position="none")
# vacancies1718 by neighborhood during Open Assignment
open2 <- ggplot(newVacancies1718AprNeighborhoodsOpen,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line()
grid.arrange(retain2, block2, general2, open2)
2018-19 Room Selection
# Descriptive Stats
colSums(occupancy1819Neighborhoods[,-1])
## Hill Morewood Oakland
## 420 422 592
colSums(occupancy1819NeighborhoodsRetention[,-1])
## Hill Morewood Oakland
## 163 27 111
colSums(occupancy1819NeighborhoodsBlock[,-1])
## Hill Morewood Oakland
## 38 185 429
colSums(occupancy1819NeighborhoodsGeneral[,-1])
## Hill Morewood Oakland
## 186 184 29
colSums(occupancy1819NeighborhoodsOpen[,-1])
## Hill Morewood Oakland
## 33 26 23
# occupancy1819 by neighborhood
ggplot(newOccupancy1819Neighborhoods,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line()
# occupancy1819 by neighborhood during Retention
retain3 <- ggplot(newOccupancy1819NeighborhoodsRetention,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line() +
theme(legend.position="none")
# occupancy1819 by neighborhood during Block
block3 <- ggplot(newOccupancy1819NeighborhoodsBlock,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line() +
theme(legend.position="none")
# occupancy1819 by neighborhood during General Selection
general3 <- ggplot(newOccupancy1819NeighborhoodsGeneral,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line() +
theme(legend.position="none")
# occupancy1819 by neighborhood during Open Assignment
open3 <- ggplot(newOccupancy1819NeighborhoodsOpen,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line()
grid.arrange(retain3, block3, general3, open3)
By Building/Room Type
- Apartment: CLY, DOH, FAX, HIGH, MMA, NEV, ROSE, SHA, SP, WEB, WOOD
- Residence_Hall: HEN, MCG, MG, RES, WEL, WW
2017-18 Room Selection
# Descriptive Stats
colSums(rsNet1718AprBuildings[,-1])
## Apartment Residence_Hall
## 829 530
colSums(rsNet1718AprBuildingsRetention[,-1])
## Apartment Residence_Hall
## 181 158
colSums(rsNet1718AprBuildingsBlock[,-1])
## Apartment Residence_Hall
## 330 171
colSums(rsNet1718AprBuildingsGeneral[,-1])
## Apartment Residence_Hall
## 296 166
colSums(rsNet1718AprBuildingsOpen[,-1])
## Apartment Residence_Hall
## 22 35
# rsNet1718 by buildings
ggplot(newRSNet1718AprBuildings,aes(x = Dates, y = Participation, group = variable,
colour = variable)) + geom_line()
# rsNet1718 by buildings during Retention
retain4 <- ggplot(newRSNet1718AprBuildingsRetention,aes(x = Dates,
y = Participation,
group = variable,
colour = variable)) +
geom_line() +
theme(legend.position="none")
# rsNet1718 by buildings during Block
block4 <- ggplot(newRSNet1718AprBuildingsBlock,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line() +
theme(legend.position="none")
# rsNet1718 by buildings during General Selection
general4 <- ggplot(newRSNet1718AprBuildingsGeneral,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line() +
theme(legend.position="none")
# rsNet1718 by buildings during Open Assignment
open4 <- ggplot(newRSNet1718AprBuildingsOpen,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line()
grid.arrange(retain4, block4, general4, open4, ncol = 2)
2017-18 Vacancies
# vacancies1718 by buildings
ggplot(newVacancies1718AprBuildings,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line()
# vacancies1718 by buildings during Retention
retain5 <- ggplot(newVacancies1718AprBuildingsRetention,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line() +
theme(legend.position="none")
# vacancies1718 by buildings during Block
block5 <- ggplot(newVacancies1718AprBuildingsBlock,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line() +
theme(legend.position="none")
# vacancies1718 by buildings during General Selection
general5 <- ggplot(newVacancies1718AprBuildingsGeneral,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line() +
theme(legend.position="none")
# vacancies1718 by buildings during Open Assignment
open5 <- ggplot(newVacancies1718AprBuildingsOpen,aes(x = Dates, y = Participation,
group = variable, colour = variable)) +
geom_line()
grid.arrange(retain5, block5, general5, open5, ncol = 2)
2018-19 Room Selection
# occupancy1819 by buildings
ggplot(newOccupancy1819Buildings,aes(x = Dates, y = Participation, group = variable,
colour = variable)) + geom_line()
# occupancy1819 by buildings during Retention
retain6 <- ggplot(newOccupancy1819BuildingsRetention,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line() +
theme(legend.position="none")
# occupancy1819 by buildings during Block
block6 <- ggplot(newOccupancy1819BuildingsBlock,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line() +
theme(legend.position="none")
# occupancy1819 by buildings during General Selection
general6 <- ggplot(newOccupancy1819BuildingsGeneral,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line() +
theme(legend.position="none")
# occupancy1819 by buildings during Open Assignment
open6 <- ggplot(newOccupancy1819BuildingsOpen,aes(x = Dates, y = Participation,
group = variable,
colour = variable)) +
geom_line()
grid.arrange(retain6, block6, general6, open6, ncol = 2)
2018 Survey Data Analysis
byClass <- read.csv("~/Desktop/roomselection/rsParticipationByClass.csv")
byClass <- byClass[1:5,]
byClass$participation2016 <- byClass$participated2016 / byClass$eligible2016
byClass$participation2017 <- byClass$participated2017 / byClass$eligible2017
colnames(byClass) <- c("Year", "eligible2016", "participated2016",
"eligible2017", "participated2017", "participation2016",
"participation2017")
newByClass <- reshape2::melt(byClass, value.name = "classParticipationRS",
varnames = c("Class", "participation"))
## Using Year as id variables
newClassParticipationCount <- newByClass[c(6:9,16:19),]
newClassParticipationProportion <- newByClass[c(21:24,26:29),]
Year_ordered <- ordered(newClassParticipationCount$Year, levels = c("First-Year", "Sophomore", "Junior", "Senior"))
ggplot(newClassParticipationCount,aes(x = variable, y = classParticipationRS)) +
geom_bar(aes(fill = Year_ordered), stat = "identity",
position = "dodge") +
labs(title = "Room Selection Participation by class for 2017 and 2018",
x = "Year", y = "Count",
fill = "Class")
ggplot(newClassParticipationProportion,aes(x = variable, y = classParticipationRS)) +
geom_bar(aes(fill = Year_ordered), stat = "identity",
position = "dodge") +
labs(title = "Room Selection Participation by class by proportion \nto each individual class for 2017 and 2018",
x = "Year", y = "Proportion",
fill = "Class")
ggplot(newClassParticipationCount,aes(x = variable, y = classParticipationRS)) +
geom_bar(aes(fill = Year_ordered), stat = "identity",
position = "fill") +
labs(title = "Room Selection Participation by class by proportion \nto total participants for 2017 and 2018",
x = "Year", y = "Proportion",
fill = "Class")
# install.packages(c("survival", "survminer"))
# library("survival")
# library("survminer")
# fit <- survfit(Surv(as.numeric(Dates), Participation) ~ variable, data = newRSNet1718ByHousesApr)
# print(fit)
#
# ggsurvplot(fit,
# pval = TRUE, conf.int = TRUKE,
# risk.table = TRUE, # Add risk table
# risk.table.col = "strata", # Change risk table color by groups
# linetype = "strata", # Change line type by groups
# surv.median.line = "hv", # Specify median survival
# ggtheme = theme_bw())